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      • Department of Computer Engineering
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      Mining of remote sensing image archives using spatial relationship histograms

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      Author
      Kalaycılar, Fırat
      Kale, Aslı
      Zamalieva, Daniya
      Aksoy, Selim
      Date
      2008-07
      Source Title
      IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2008
      Publisher
      IEEE
      Pages
      III - 589 - III - 592
      Language
      English
      Type
      Conference Paper
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      Abstract
      We describe a new image representation using spatial relationship histograms that extend our earlier work on modeling image content using attributed relational graphs. These histograms are constructed by classifying the regions in an image, computing the topological and distance-based spatial relationships between these regions, and counting the number of times different groups of regions are observed in the image. We also describe a selection algorithm that produces very compact representations by identifying the distinguishing region groups that are frequently found in a particular class of scenes but rarely exist in others. Experiments using Ikonos scenes illustrate the effectiveness of the proposed representation in retrieval of images containing complex types of scenes such as dense and sparse urban areas. © 2008 IEEE.
      Keywords
      Feature selection
      Image retrieval
      Spatial relationships
      Attributed relational graph
      Compact representation
      Distance-based
      Feature selection
      Image content
      Image representations
      Remote sensing images
      Selection algorithm
      Spatial relationships
      Urban areas
      Feature extraction
      Image reconstruction
      Mining
      Remote sensing
      Image retrieval
      Permalink
      http://hdl.handle.net/11693/26806
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/IGARSS.2008.4779416
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      • Department of Computer Engineering 1368
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